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» Using Data Mining in MURA Graphic Problems
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PODS
2006
ACM
217views Database» more  PODS 2006»
16 years 3 months ago
A simpler and more efficient deterministic scheme for finding frequent items over sliding windows
In this paper, we give a simple scheme for identifying approximate frequent items over a sliding window of size n. Our scheme is deterministic and does not make any assumption on ...
Lap-Kei Lee, H. F. Ting
113
Voted
ICDE
2007
IEEE
104views Database» more  ICDE 2007»
15 years 9 months ago
Filtering Frequent Spatial Patterns with Qualitative Spatial Reasoning
In frequent geographic pattern mining a large amount of patterns can be non-novel and non-interesting. This problem has been addressed recently, and background knowledge is used t...
Vania Bogorny, Bart Moelans, Luis Otávio Al...
158
Voted
PETRA
2009
ACM
15 years 10 months ago
Towards faster activity search using embedding-based subsequence matching
Event search is the problem of identifying events or activity of interest in a large database storing long sequences of activity. In this paper, our topic is the problem of identi...
Panagiotis Papapetrou, Paul Doliotis, Vassilis Ath...
120
Voted
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 4 months ago
TANGENT: a novel, 'Surprise me', recommendation algorithm
Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
Kensuke Onuma, Hanghang Tong, Christos Faloutsos
141
Voted
KDD
2009
ACM
305views Data Mining» more  KDD 2009»
16 years 4 months ago
Grocery shopping recommendations based on basket-sensitive random walk
We describe a recommender system in the domain of grocery shopping. While recommender systems have been widely studied, this is mostly in relation to leisure products (e.g. movies...
Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-...